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Data Cloud Integration

Execute queries and monitor AI data directly from GenAI Explorer with comprehensive Data Cloud integration for analytics and insights.

Data Cloud Integration

The Problem​

Analyzing AI performance requires querying Data Cloud to understand conversations, token usage, errors, and agent behavior.

Teams need to:

  • 📊 Monitor Performance: Track agent success rates, response times, and user satisfaction
  • 💰 Analyze Costs: Understand token consumption patterns and optimize spending
  • 🐛 Debug Issues: Investigate errors and failed conversations
  • 📈 Identify Trends: Spot patterns in user queries and agent responses
  • 🔍 Audit Behavior: Review what agents are doing and why
  • ⚡ Real-Time Insights: Get immediate visibility into AI operations

In short: You need quick access to AI data for analysis and optimization without writing complex SQL queries.

How GenAI Explorer Solves This​

GenAI Explorer provides instant data access with:

✅ Pre-Built Query Library: 8+ ready-to-use analytics queries

  • Complete reasoning traces
  • Token usage by model
  • Conversation threading
  • Feature usage statistics
  • Safety and compliance metrics
  • Error analysis
  • Performance trends

✅ Interactive Query Builder: Build custom queries with auto-complete

  • Object and field suggestions
  • Syntax validation
  • Query optimization tips

✅ Live Data Execution: Run queries directly against your org

  • Real-time results
  • No external tools needed
  • Secure OAuth authentication

✅ Multiple Export Formats: Get data where you need it

  • CSV for Excel
  • JSON for APIs
  • Text for reports
  • Copy to clipboard

✅ Query Lab in Atlas: Specialized queries for reasoning engine analysis

  • Stage-by-stage performance
  • ReAct loop iterations
  • RAG retrieval effectiveness

Impact: Analyze AI performance in minutes instead of days, export data instantly, and make data-driven optimization decisions without SQL expertise.

Overview​

GenAI Explorer provides deep integration with Salesforce Data Cloud, allowing you to query, analyze, and monitor all aspects of your AI implementation. Access real-time data about requests, responses, token usage, conversations, and performance metrics.